在TensorFlow中将多个字节读入单个值

问题描述

我尝试以类似于TensorFlow中的cifar10示例中所述的方式读取标签：

  ... 。
 label_bytes = 2＃在原始版本中为1 
 result.key，value = reader.read（filename_queue）
 record_bytes = tf.decode_raw（value，tf.uint8）
 result.label = tf.cast（tf.slice（record_bytes，[0]，[label_bytes]），tf.int32）
 .... 
  pre> 
 
 
问题是，如果label_byte大于1（例如2），result.label似乎变成了两个元素的张量字节）。我只想将连续的标签字节的字节表示为单个值。 
 
 
 
感谢
解决方案
解码器，使用它解码int16并以第一个元素作为您的标签
  shorts = tf.decode_raw（value，tf.int16） 
 result.label = tf.cast（shorts [0]，tf.int32）
  
有一个更好的解决方案，但它的工作原理。
 
I'm trying to read the label in a similar way as described in cifar10 example in TensorFlow:
 ....
 label_bytes = 2 # it was 1 in the original version
 result.key, value = reader.read(filename_queue)
 record_bytes = tf.decode_raw(value, tf.uint8)
 result.label = tf.cast(tf.slice(record_bytes, [0], [label_bytes]), tf.int32)
 ....
The problem is, if label_byte is bigger than 1 (e.g.,2), result.label seems to become a tensor of two elements (each of which is 1-byte). I just want to represent the consecutive label_bytes of bytes into a single value. How do I do that?
Thanks
 解决方案 
Create a second decoder, decode int16 with it and take the first element as your label
shorts = tf.decode_raw(value, tf.int16)
result.label = tf.cast(shorts[0], tf.int32)
There's probably a better solution but it works.
                        
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